Topological critical slowing down: variations on a toy model

TL;DR

This paper investigates the critical slowing down in lattice quantum field theories with non-trivial topology using a simple toy model, comparing existing techniques and introducing a new algorithm that fully resolves the freezing issue.

Contribution

The study analyzes topological slowing down in a toy model and introduces a novel algorithm that completely solves the freezing problem, though it is model-specific.

Findings

Standard algorithms suffer from ergodicity loss at continuum limit.

The new algorithm fully resolves topological freezing in the toy model.

Comparison of techniques at different temperature regimes.

Abstract

Numerical simulations of lattice quantum field theories whose continuum counterparts possess classical solutions with non-trivial topology face a severe critical slowing down as the continuum limit is approached. Standard Monte-Carlo algorithms develop a loss of ergodicity, with the system remaining frozen in configurations with fixed topology. We analyze the problem in a simple toy model, consisting of the path integral formulation of a quantum mechanical particle constrained to move on a circumference. More specifically, we implement for this toy model various techniques which have been proposed to solve or alleviate the problem for more complex systems, like non-abelian gauge theories, and compare them both in the regime of low temperature and in that of very high temperature. Among the various techniques, we consider also a new algorithm which completely solves the freezing problem, but unfortunately is specifically tailored for this particular model and not easily exportable to more complex systems.